Analytics Engineer

About the role

This role focuses on developing and maintaining core data foundations for regulatory compliance within Coinbase. The Analytics Engineer will be responsible for the entire lifecycle of production-grade data models and pipelines, specifically covering user, transaction, and compliance data across various product lines. This involves ensuring data integrity through quality checks, validation logic, and monitoring systems.

A key aspect of this position is collaborating with upstream engineering teams to address data gaps and integrate product changes at the source. The successful candidate will also provide critical support during live regulatory exams, audits, and ad hoc requests, ensuring timely and accurate data delivery. This work directly contributes to Coinbase's mission of increasing economic freedom by maintaining robust compliance data.

Success in this role means transforming manual processes into scalable, automated pipelines and self-serve tools. The ideal candidate will have a proven ability to convert informal knowledge into documented, durable infrastructure. This involves not only technical execution but also a proactive approach to improving data systems and supporting high-stakes data needs.

The base salary for this full-time remote position ranges from $90,000 to $150,000 annually, with potential for additional compensation through equity and bonuses.

Skills that matter here

• SQL: This role requires strong proficiency in SQL for building and maintaining data models and pipelines.
• Python: Python proficiency is essential for developing and automating data pipelines and workflows.
• dbt: Experience with dbt is needed for transforming and modeling data within the data warehouse.
• Snowflake: Familiarity with Snowflake or similar modern data warehouse platforms is required for managing data infrastructure.
• Databricks: Experience with Databricks or similar modern data warehouse platforms is necessary for handling large-scale data processing.

Who this role suits

• Someone who can independently own the development of data models and pipelines from start to finish.
• A person who thrives in an intense environment and is motivated by a mission to increase economic freedom.
• An individual with a meticulous approach to data quality, capable of implementing robust frameworks.
• A candidate who can manage time-sensitive data needs and translate informal knowledge into structured systems.

From the employer

• Own end-to-end development of production-grade data models and pipelines at the core of the CDM, covering user, transaction, and compliance data across retail and institutional product lines.
• Build data quality checks, data contracts, validation logic, and monitoring that protect data integrity.
• Partner with upstream engineering teams to fix data gaps and absorb product changes at the source.
• Support live regulatory exams, audits, and ad hoc regulator requests with accurate, timely data.
• Automate recurring manual workflows into scalable pipelines and self-serve tooling.

• 2+ years of experience building and maintaining production data pipelines and data models.
• Strong proficiency in SQL, Python, dbt, and a modern warehouse platform (Snowflake, Databricks, or similar).
• Track record implementing data quality frameworks.
• Experience supporting time-sensitive, high-stakes data needs.
• Demonstrated ability to turn tribal knowledge and recurring manual workflows into durable, documented infrastructure.

• Base salary range: $90K - $150K.
• Total compensation may include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
• Remote-first environment with quarterly in-person working sessions.